Author: Ava Patterson
Ava Patterson
Ava is a San Francisco-based marketing tech writer with a decade of hands-on experience covering the latest in martech, automation, and AI-powered strategies for global brands. She previously led content at a SaaS startup and holds a degree in Computer Science from UCLA. When she's not writing about the latest AI trends and platforms, she's obsessed about automating her own life. She collects vintage tech gadgets and starts every morning with cold brew and three browser windows open.
CRM-native identity add-ons close attribution gaps faster than standalone CDPs for most mid-market brands, but not always.
Native data-warehouse marketplace apps are reshaping identity resolution vendor selection around infrastructure fit, not feature checklists.
Native data-warehouse marketplace apps are reshaping identity resolution vendor selection, favoring speed and governance over legacy MDM builds.
A practical framework for evaluating AI compliance tools that catch bad affiliate disclosures before your TikTok Shop livestream goes live.
Zeotap, Databricks CustomerLake, and Snowflake Native Apps let brands run marketing workloads without moving data. Here’s how they actually compare.
Without unified identity resolution, GEO strategies feed AI models fragmented, contradictory brand data that no citation tactic can fix.
A practical framework for evaluating AI attribution dashboards that connect social engagement to actual sales, not just clicks.
TikTok’s new attribution signals force marketers to rethink which metrics belong in the boardroom versus the platform dashboard.
A practical framework for evaluating agentic AI orchestration platforms against real CRM and RevOps integration requirements, not vendor demos.
A technical framework for migrating from vanity metrics to revenue tracking by logging influencer touches against expansion pipeline.